Senior AI & ML Engineer: Agentic Systems & Cloud ML

Machine Learning Technologies, LLC; Pennsylvania; On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC in Pennsylvania is seeking an experienced AI/ML Engineer to design and deploy production ML systems across cloud environments. You will lead agentic AI integrations and secure tool orchestration, building LLM-based applications with RAG and rigorous evaluation.

The role emphasizes AWS ML stack proficiency (SageMaker, Glue, Bedrock, Lambda), Python, and collaboration with product teams to meet business goals. On-site location in PA with growth opportunities.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).
• 6+ years of experience across AI/ML engineering, data engineering, and MLOps implementation.
• Designing and deploying production-grade ML systems.
• Building scalable data pipelines and ML workflows.
• Managing model lifecycle in cloud environments.
• Proficient in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong understanding and experience in AWS Machine Learning Stack including: AWS SageMaker, AWS Glue, AWS Bedrock, AWS Lambda.
• Experience with Generative AI model development building LLM-based applications with RAG.
• Experience implementing agentic frameworks (LangGraph, AutoGen) and Model Context Protocol (MCP).
• Knowledge of React UI, GraphDB, and GenAI model performance evaluation.
• Experience with CI/CD, containerization (Docker), and orchestration (Kubernetes).
• Solid grasp of software engineering principles including testing, Git, and security.
• Familiarity with the Machine Learning Development Lifecycle (MDLC) and best practices for reproducibility and scalability.
• Strong communication and collaboration skills across technical and business teams.
• Ability to anticipate ambiguity and devise scalable solutions to address it.

Responsibilities

• Agentic AI & MCP integration for secure tool orchestration.
• Generative AI development: build LLM-based applications with RAG and evaluation frameworks.
• AWS ML engineering: deploy models using SageMaker pipelines, ECS/ECR, Lambda; manage CI/CD and monitoring.
• Security & identity: integrate Okta/JWT token for API authentication; enforce token validation and claims.
• Governance: deliver artifacts required by MDLC/MPLC (Model Documents, Data Dictionary, Monitoring Plan).
• Collaboration: partner with PO and business stakeholders to align solutions with objectives.

Skills

Python

ML engineering

Cloud deployment

Team collaboration

Education

Bachelor's degree in CS/Engineering

Master's preferred

Tools

AWS SageMaker

AWS Glue

AWS Bedrock

AWS Lambda

Docker

Kubernetes

TensorFlow

PyTorch

Scikit-learn

React UI

GraphDB

Git

Job description

Machine Learning Technologies, LLC in Pennsylvania is seeking an experienced AI/ML Engineer to design and deploy production ML systems across cloud environments. You will lead agentic AI integrations and secure tool orchestration, building LLM-based applications with RAG and rigorous evaluation.

The role emphasizes AWS ML stack proficiency (SageMaker, Glue, Bedrock, Lambda), Python, and collaboration with product teams to meet business goals. On-site location in PA with growth opportunities.